18th International Conference on Digital Image Processing (ICDIP 2026)

Conference Proceeding All papers will be strictly double blind reviewed by the program committee, and accepted papers after proper registration and presentation will be published in the conference proceedings by SPIE, which will be included in SPIE Digital Library and indexed by Ei Compendex, Scopus, etc. Keynote Speakers Prof. Sam KWONG Tak Wu (IEEE Fellow), Lingnan University, Hong Kong, China Prof. Ran He (IAPR/IEEE Fellow), Institute of Automation, Chinese Academy of Sciences, China Prof. Lap-Pui Chau (IEEE Fellow), The Hong Kong Polytechnic University, Hong Kong, China Prof. Jian J Zhang, Bournemouth University, UK Topics Track 1: Image Analysis and Understanding ▪ Object Detection and Recognition ▪ Scene Understanding ▪ Image Captioning Track 2: Image and Video Processing ▪ Image & Video Analysis and Segmentation ▪ Image & Video Processing ▪ Image & Video Coding and Transmission Track 3: Computer Vision and Graphics ▪ Computer Vision and Image Processing Applications ▪ Visualization ▪ Visual Special Effects Track 4: Signal Processing ▪ Digital Signal Processing ▪ Adaptive Signal Processing ▪ Statistical Signal Processing Track 5: Applications and Systems ▪ Emerging Applications and Systems ▪ Industrial Applications ▪ Applications in Telecommunications Track 6: Medical and Biological Image Processing ▪ Medical Image Analysis ▪ Medical Image Processing ▪ Biomedical and Biological Image Processing Submission Guideline ▪ English is the official language. Paper should be prepared and presented in English. ▪ Full paper (no less than 8 full Pages) submission is required for Publication and Presentation. For presentation only, just send us the abstract. ▪ Submit online: http://www.easychair.org/conferences/?conf=icdip2026 Contact us Conference secretary: Ms. Jennifer Dong Tel.: +86-18080013977 Submission and Notification - Email: [email protected] Registration and Related Issues - Email: [email protected] Website: https://www.icdip.org/index.html Office Hour: Monday-Friday, 9:30-18:00 (UTC+8)